TY - DATA
T1 - Supporting data for "zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIs"
AU - Beate, Vieth
AU - Christoph, Ziegenhain
AU - Ines, Hellmann
AU - Swati, Parekh
AU - Wolfgang, Enard
DO - 10.5524/100447
AB - Single cell RNA-seq (scRNA-seq) experiments typically analyze hundreds or thousands of cells after amplication of the cDNA. The high throughput is made possible by the early introduction of sample-specific barcodes (BCs) and the amplication bias is alleviated by unique molecular identiers (UMIs). Thus the ideal analysis pipeline for scRNA-seq data needs to efficiently tabulate reads according to both BC and UMI. zUMIs is such a pipeline, it can handle both known and random BCs and also efficiently collapses UMIs, either just for Exon mapping reads or for both Exon and Intron mapping reads. Another unique feature of zUMIs is the adaptive downsampling function, that facilitates dealing with hugely varying library sizes, but also allows to evaluate whether the library has been sequenced to saturation. zUMIs flexibility allows to accommodate data generated with any of the major scRNA-seq protocols that use BCs and UMIs. To illustrate the utility of zUMIs, we analysed a single-nucleus RNA-seq dataset and show that more than 35% of all reads map to Introns. We furthermore show that these intronic reads are informative about expression levels, significantly increasing the number of detected genes and improving the cluster resolution.
KW - Software
KW - Workflow
KW - Transcriptomic
KW - single-cell rna-sequencing
KW - digital gene expression
KW - unique molecular identifiers
KW - pipeline
PY - 2018
PB - GigaScience Database
LA - en-US
ER -